class_docstr: A single RandAugment layer.
class_docstr_tok: ["A","single","RandAugment","layer","."]
code: def __init__(self, layers, factors):
      super().__init__()
      self.layers = layers
      self.factors = factors
  
file_path: keras-tuner/keras_tuner/applications/augment.py
imports: from keras_tuner.api_export import keras_tuner_export
  from keras_tuner.backend import keras
  from keras_tuner.backend import ops
  from keras_tuner.backend import random
  from keras_tuner.backend.keras import layers
  from keras_tuner.engine import hypermodel
label_desc: Use image node_id 1 to create a new RandAugment object from inherited base classes: keras.layers with example: obj = RandAugment(layers, factors)